Convex Optimization · Problem 2.12

Convex functions — Boyd & Vandenberghe

Mathematics — Optimization · convex-sets-examples

Problem

Which of the following sets are convex? ((a)) A slab, i.e., a set of the form {x∈Rn∣α≤aTx≤β}\{x \in \mathbf{R}^n \mid \alpha \leq a^T x \leq \beta\}. ((b)) A rectangle, i.e., a set of the form {x∈Rn∣αi≤xi≤βi, i=1,…,n}\{x \in \mathbf{R}^n \mid \alpha_i \leq x_i \leq \beta_i,\, i = 1, \ldots, n\}. A rectangle is sometimes called a hyperrectangle when n>2n > 2. ((c)) A wedge, i.e., {x∈Rn∣a1Tx≤b1, a2Tx≤b2}\{x \in \mathbf{R}^n \mid a_1^T x \leq b_1,\, a_2^T x \leq b_2\}. ((d)) The set of points closer to a given point than a given set, i.e., {x∣∥x−x0∥2≤∥x−y∥2 for all y∈S}\{x \mid \|x - x_0\|_2 \leq \|x - y\|_2 \text{ for all } y \in S\} where S⊆RnS \subseteq \mathbf{R}^n. ((e)) The set of points closer to one set than another, i.e., {x∣dist(x,S)≤dist(x,T)},\{x \mid \mathbf{dist}(x, S) \leq \mathbf{dist}(x, T)\}, where S,T⊆RnS, T \subseteq \mathbf{R}^n, and dist(x,S)=inf⁡{∥x−z∥2∣z∈S}\mathbf{dist}(x, S) = \inf\{\|x - z\|_2 \mid z \in S\}. ((f)) [HUL93, volume 1, page 93] The set {x∣x+S2⊆S1}\{x \mid x + S_2 \subseteq S_1\}, where S1,S2⊆RnS_1, S_2 \subseteq \mathbf{R}^n with S1S_1 convex. ((g)) The set of points whose distance to aa does not exceed a fixed fraction θ\theta of the distance to bb, i.e., the set {x∣∥x−a∥2≤θ∥x−b∥2}\{x \mid \|x - a\|_2 \leq \theta \|x - b\|_2\}. You can assume a≠ba \neq b and 0≤θ≤10 \leq \theta \leq 1.

Related theory

Browse the problem library